Launchpad Learning Modules: An Overview and Introduction
Launchpad Learning Modules: An Overview and Introduction
The Launchpad Umbrella Working Group has created a series of learning modules to provide an overview to use-inspired research practices and provide tangible examples to assist with implementation.
The first in the Launchpad Learnings series, this video provides an introduction of the modules as well as an overview of them.
Use-Inspired Research (UIR) plays a pivotal role in bridging the gap between scientific exploration and practical, real-world applications. It focuses on research that not only advances knowledge but also addresses pressing societal needs. The Launchpad, designed as a resource hub, provides a range of tools and insights for those interested in engaging with UIR, particularly in the context of cross-sector collaborations.
UIR thrives within innovation ecosystems, which include diverse actors such as universities, private enterprises, government agencies, civil society organizations, and practitioners. Each of these groups brings unique strengths to the table, whether it’s cutting-edge research, entrepreneurial energy, policy-making expertise, or on-the-ground practical knowledge. Collaboration across these sectors is essential for UIR to succeed.
Watch the video below, produced by Alan Paul, for an overview of the Launchpad Learning Modules series.
Resources Mentioned in the Video:
Granstrand, O., & Holgersson, M. (2020). Innovation ecosystems: A conceptual review and a new definition. Technovation, 90–91. https://doi.org/10.1016/j.technovation.2019.102098
McNei, E.C., Parris, A., Sarawitz, D. A (2015). Typology for Assessing the Role of Users in Scientific Research: Discussion Paper. Available at: https://cspo.org/wp-content/uploads/2015/02/Typology-Workshop-Paper.pdf
Sotirofski, I. (2024). Understanding Innovation Ecosystems. Interdisciplinary Journal of Research and Development, 11(1). https://doi.org/10.56345/ijrdv11n101
This activity is part of Building Bridges to Use-Inspired Research and Science-Informed Practices, funded under NSF Grant # FAIN-2309541.